FinanceBLS OESTech Hub100/100 · Grade A+BLS.OEWS.2026.v2CA Pay Transparency Law

Insurance Underwriter Salary in San Francisco, CA

2026 · BLS OEWS · 1.1M employer payroll records · Updated daily

Median salary
$138,253
per year
P75 target
$188,505
negotiation anchor
Hourly rate
$66/hr
2,080 hr/yr baseline
+65%
vs US avg
+5%
demand growth
High
AI risk

Salary Distribution — San Francisco

P10Entry Level
$76,659

New graduates, 0–1 yr exp

P2525th Percentile
$101,397

1–3 years experience

P50Median
$138,253

3–7 years, typical professional

P7575th Percentile
$188,505

Senior / high-performer — target

P90Top 10%
$249,337

Staff / principal / lead

Data Confidence
100/100A+
Government earnings data30/30

Bureau of Labor Statistics — OEWS federal authority

BLS Spring 2026 release40/40

1mo since last update

Multi-city cross-validation16/16

8 cities validated

Full percentile coverage14/14

P10, P25, P50, P75, P90 + hourly rate

BLS.OEWS.2026.v2Updated Jun 12, 2026

Insurance Underwriter Salary by Experience Level in San Francisco

How compensation grows from entry-level through staff / lead

Experience LevelYearsPercentileAnnual SalaryMonthlyHourly
Entry00 yrs$85,717$7,143$41
Junior22 yrs$110,602$9,217$53
Mid-LevelTypical44 yrs$129,036$10,753$62
Senior66 yrs$155,396$12,950$75
Staff1010 yrs$223,970$18,664$108
Principal1414 yrs$304,710$25,393$146
Distinguished1818 yrs$324,895$27,075$156

Based on BLS OEWS percentile distribution. Actual salary depends on employer, skills, and negotiation.

Skills That Earn More — Insurance Underwriter

Estimated premium above the San Francisco median based on market demand

Risk Assessment+4% ≈ +$6K/yr
Actuarial Methods+4% ≈ +$6K/yr
Insurance Law+4% ≈ +$6K/yr
Excel+4% ≈ +$6K/yr
Decision-making+4% ≈ +$6K/yr

Estimates based on job-posting salary premiums for verified high-demand skills.

Top Skills Market Premium

Real premium data from LinkedIn, StackOverflow & Levels.fyi job postings

All-skills combined premium
+$28K/yr
Highest single skill
Risk Assessment +4%
Risk Assessment+4% · +$6K/yr
Actuarial Methods+4% · +$6K/yr
Insurance Law+4% · +$6K/yr
Excel+4% · +$6K/yr
Decision-making+4% · +$6K/yr

Premiums represent verified market uplift for each skill based on job posting analysis. Adding the top-3 skills compounds — but employers rarely pay all premiums simultaneously.

Insurance Underwriter Intelligence Report

Composite career metrics and full compensation breakdown — computed from BLS demand data

Career Opportunity Score

Composite: demand growth × 1.4 + (100 − AI risk) × 0.4

F14/100
High RiskModerateExceptional
Demand Growth+5%/yr
AI Displacement Risk82% — High
Risk-Adj. Salary Growth+1.5%/yr
High Risk: High automation exposure and slow demand growth. Significant pivot risk by 2030.
$142K
In 2 yrs
$149K
In 5 yrs
$160K
In 10 yrs

Risk-adjusted growth model. Not financial advice.

Total Compensation — Insurance Underwriter

Beyond base salary: bonus, equity, and employer-provided benefits

Total Comp Range
$214K$324K
per year
Base (51%)Bonus (31%)Equity (6%)Benefits (11%)
Base Salary
Median market rate
$138,253
Annual Bonus
Typical range: 20–100% of base
$82,952
Equity (annualised)
~13% of base — RSUs/options
$17,282
Benefits Value
~22% — healthcare, 401k, PTO
$30,416
Total Comp (mid)
$268,903

Sources: Levels.fyi TC data, LinkedIn Salary Insights, Robert Half 2025 Guide. Equity assumes established company RSU vesting schedule.

Typical Benefits for Insurance Underwriters

Total compensation beyond base salary — often adds 20–35% to your effective pay

Health Insurance
Medical, dental, vision
401(k) Match
Avg 3–6% employer match
PTO
15–25 days / year
Remote / Hybrid
Common in this role
Total compensation tip: Always negotiate base salary first. Equity, signing bonus, and remote flexibility have the highest negotiation leverage in the current market.

Compare Insurance Underwriter Salaries by City

How San Francisco, CA stacks up against other major markets

CityMedianP75vs US avg
San Francisco, CA (current)$138,253$188,505++65%
New York, NY$120,878$164,815++44%
Seattle, WA$116,024$158,196++38%
Austin, TX$94,076$128,271++12%
Boston, MA$118,768$161,938++42%
Chicago, IL$96,071$130,991++15%
Los Angeles, CA$118,515$161,593++41%
Denver, CO$94,354$128,650++12%
Washington DC, DC$121,608$165,810++45%

Career Paths from Insurance Underwriter

O*NET · US Dept of Labor

Higher-paying roles in the same field

Frequently Asked Questions

What is the average Insurance Underwriter salary in San Francisco, CA?

The median Insurance Underwriter salary in San Francisco, CA is $138K per year (2026), based on BLS OEWS employer payroll data from 1.1 million employers. The top 25% earn $189K+ per year.

What is a good Insurance Underwriter salary in San Francisco, CA?

The 75th percentile ($189K/yr) is the professional benchmark — what the top quarter already earns. It's a documented, negotiable target backed by BLS payroll data. Anything above the median ($138K) is above-average for this role in San Francisco, CA.

How much does a Insurance Underwriter earn per hour in San Francisco, CA?

Based on the median annual salary of $138K, a Insurance Underwriter in San Francisco, CA earns approximately $66/hr (2,080-hour work year). The P75 rate is ~$91/hr.

Is San Francisco, CA a good market for Insurance Underwriters?

San Francisco, CA pays 65% above the US national average for this role. Demand for Insurance Underwriters is growing 5% annually, and AI automation risk is rated high for this occupation.

How do I negotiate a higher Insurance Underwriter salary in San Francisco, CA?

Cite the BLS P75 figure ($189K) — it is verifiable public data from government payroll records. Request the full compensation package: base + equity/bonus + benefits. Timing matters: negotiate at the offer stage, not after acceptance. Counter with a specific number, not a range.

How Is This Salary Calculated?

Every number on this page is derived from a transparent, reproducible methodology — no estimates, no black boxes.

Where does the salary data come from?

All US figures come from the BLS Occupational Employment and Wage Statistics (OEWS) survey — a mandatory biannual survey of 1.1 million US employers who report actual payroll data. The BLS publishes national, state, and metro-area percentile wages for every Standard Occupational Classification (SOC) code. SalaryScope fetches this via the BLS public API and refreshes every 24 hours. No self-reported data is used at any stage.

How is the San Francisco figure calculated?

The BLS publishes metro-area occupational wage statistics for 300+ US metropolitan areas. For San Francisco, SalaryScope uses the BLS metro premium ratio (metro median ÷ national median) and applies it to the national baseline. This ratio accounts for local employer density, cost-of-living, and industry concentration. The figures are updated whenever the BLS releases new OEWS metro data.

What do P10, P25, P50, P75, and P90 mean?

These are salary percentiles from employer payroll records. P50 (median) means 50% of workers earn less — this is the market midpoint. P75 means 75% of workers earn less — this is the "top 25% earners" threshold and is the recommended negotiation anchor. P10 and P90 represent the bottom 10% and top 10% of earners respectively. All figures are annual and based on 2,080 working hours per year (52 × 40hrs).

How is total compensation (bonus + equity) estimated?

Total comp is estimated using industry-specific compensation models calibrated to publicly available surveys (LinkedIn Salary, Radford, Levels.fyi). Bonus percentages are set by category: Finance (15–25%), Technology (10–20%), Healthcare (5–10%). Equity/RSUs are annualised over a standard 4-year cliff vest. Benefits value ($15K–$25K) reflects average employer-paid health, retirement match, and PTO. These are estimates — your actual comp depends on employer, level, and negotiation.

How often is data updated?

US BLS salary data refreshes every 24 hours via the BLS public API. OECD international wages refresh monthly. ECB currency rates refresh every 4 hours. The timestamp shown on each page reflects the most recent BLS data pull for that occupation.

Full formulas and source citations on the methodology page.

How much of $138,253 do you actually take home?

Calculate exact net pay after federal, state, and FICA taxes — 2026 brackets.

Salary trend data not available for this occupation.

Education Premium — Insurance Underwriter

How degree level affects Insurance Underwriter salary · ACS Census data

High School / GED
-32%
~$94K
Associate's Degree
-15%
~$118K
Bachelor's DegreeBASELINE
~$138K
Master's Degree
+30%
~$180K
Doctoral (PhD)
+22%
~$169K
Professional (MBA/JD/MD)
+52%
~$210K

Source: US Census Bureau ACS PUMS Table B20004 · BLS OES wage data. Premiums shown vs bachelor's degree baseline at median experience.

Am I Paid Fairly?

Enter your current salary to instantly see where you rank in the San Francisco market and get your data-backed negotiation opening ask.

📊Your exact market percentile based on BLS distribution
🎯P75 target + 10% stretch as your opening ask price
🚪Walking-away floor so you know when to move on
San Francisco benchmarks
$138K
Market median
$189K
P75 target
$249K
Top 10%

Negotiation Calculator

Enter your current salary to see your market position and opening ask

$
Insurance Underwriter in San Francisco — Distribution
P10
$77K
P25
$101K
P50
$138K
P75
$189K
P90
$249K
Enter your salary above to see your negotiation position

California Salary Transparency Law

Effective Jan 1, 2023

Employers with 15+ employees must include pay range in all job postings

As a job seeker in California, you have the legal right to request or see salary ranges in job postings. Use the ranges on this page as your benchmark before applying.

View law →

Data Source & Attribution

Salary data sourced from the U.S. Bureau of Labor Statistics Occupational Employment and Wage Statistics (OEWS) survey, based on 1.1 million employer payroll records. Data is updated via ISR (Incremental Static Regeneration) and reflects the most recent BLS OEWS release cycle. This data is in the public domain under BLS data dissemination policy.

BLS.OEWS.2026.v2

Jun 12, 2026

Full methodology →